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Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
 
Nearly 19% of private sector businesses in the U.S. fail within the first year. After five years, close to 50% have faltered, and by year 10, 65.5% of businesses on average have failed. With these unfortunate statistics in mind, my mission is to unpack and uncover why this is and what the other 34.5% of businesses are doing that has allowed them to beat the odds and flourish. Join us for uncut and uncensored conversations with these highly successful business owners who will uncover thier se ...
 
The Department of Statistics at Oxford is a world leader in research including computational statistics and statistical methodology, applied probability, bioinformatics and mathematical genetics. In the 2014 Research Excellence Framework (REF), Oxford's Mathematical Sciences submission was ranked overall best in the UK. This is an exciting time for the Department. We have now moved into our new home on St Giles and we are currently settling in. The new building provides improved lecture and ...
 
This course provides an introduction to the quantitative methods social scientists use to collect and evaluate empirical data about society. Through this course you will learn to gather, describe, and analyze data with an emphasis on the application and interpretation of these methods. This course will also help you to be a more informed and critical reader of academic research, public opinion polling, and advertisement claims that present statistical evidence. Lecture slides and additional ...
 
Australian Social Trends (AST) podcasts bring you short, easy listening highlights from the Australian Bureau of Statistics' latest release of the AST publication. Each quarterly release of AST contains several in depth articles, which cover many broad areas of social concern such as population, health, work and housing just to name a few. We aim to do this in an interesting and easy to understand way. Other aims of AST are to address current and perennial social concerns and to provide answ ...
 
The health podcast series brings you highlights and data snapshots from the wide range of health data collected by the Australian Bureau of Statistics (ABS). The Health podcast will showcase this data in a series of short conversations that discuss Australia's health status following release of data from the suite of health surveys conducted by the ABS. The episodes will discuss a variety of topics, including health risk factors such as smoking and obesity, rates of physical activity and die ...
 
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show series
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Hosting someone like Kevin Murphy on your podcast is… complicated. Not because Kevin himself is complicated (he’s delightful, don’t make me say what I didn’t say!), but because all the questions I had for him amounted to a 12-hour show. Sooooo, brace yourselves …
 
On This episode, Dr. Ryan Carlson DC, the owner of Deep Roots Chiropractic In Bentonville, Arkansas, explains how he fell in love with chiropractic and has grown his single-location practice to nearly 2 million dollars per year and now travels across the world to teach other chiropractors how to improve thier operations and results within thier pra…
 
This is a brief introduction to the props behind this podcast. The name is born out of two parts. The first is Napolean Hills Outwitting the devil, which has given me a lot of hope when I've struggled and provided a framework for overcoming obstacles and finding purpose in myself and my business. The second part is a play on the words "IN SEARCH" o…
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Is there life in the Universe? It doesn’t get deeper than this, does it? And yet, why do we care about that? In the very small chance that there is other life in the Universe, we have even less chance to discover it, talk to it and meet it. So, why do we care? W…
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! I have to confess something: I love challenges. And when you’re a podcaster, what’s a better challenge than dedicating an episode to… visualization? Impossible you say? Well, challenge accepted! Thankfully, I got the help of a visualization Avenger for this epis…
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Folks, there are some new cool kids on the block. They are called PyMC, Aeppl, and Aesara, and it’s high time we give us a proper welcome! To do that, who better than one of the architects of the new PyMC 4.0 — Ricardo Vieira! In this episode, he’ll walk us thro…
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! I’m sure you’ve already heard of gravitational waves, because my listeners are the coolest and smartest ever ;) But did you know about gravity waves? That’s right, waves in the sky due to gravity — sounds awesome, right? Well, I’m pretty sure that Laura Mansfiel…
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Inviting someone like Luciano Paz on a stats podcast is both a pleasure and a challenge — he does so many things brilliantly that you have too many questions to ask him… In this episode, I’ve chosen — not without difficulty — to focus on the applications of Baye…
 
A lecture exploring alternatives to using labeled training data. Labeled training data is often scarce, unavailable, or can be very costly to obtain. To circumvent this problem, there is a growing interest in developing methods that can exploit sources of information other than labeled data, such as weak-supervision and zero-shot learning. While th…
 
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! We talk a lot about generative modeling on this podcast — at least since episode 6, with Michael Betancourt! And an area where this way of modeling is particularly useful is healthcare, as Maria Skoularidou will tell us in this episode. Maria is a final year PhD…
 
The big problems with classic hypothesis testing are well-known. And yet, a huge majority of statistical analyses are still conducted this way. Why is it? Why are things so hard to change? Can you even do (and should you do) hypothesis testing in the Bayesian framework? I guess if you wanted to name this episode in a very Marvelian way, it would be…
 
JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Use of Run-in Periods in Randomized Trials with Jane M. Armitage, MBBS. Related Content: Use of Run-in Periods in Randomized Trials With Dr Armitage Short- and Long-term Effects of a Mobile Phone App in Conjunction With Brief In-Person Counseling on Physical Activity Among Physically Inactive …
 
Why do we, humans, communicate? And how? And isn’t that a problem that to study communication we have to… communicate? Did you ever ask yourself that? Because J.P. de Ruiter did — and does everyday. But he’s got good reasons: JP is a cognitive scientist whose primary research focus is on the cognitive foundations of human communication. He aims to …
 
In large-scale one-off civil infrastructure, decision-making under uncertainty is part of the job, that’s just how it is. But, civil engineers don't get the luxury of building 10^6 versions of the bridge, offshore wind turbine or aeronautical structure to consider a relative frequency interpretation! And as you’ll hear, challenges don’t stop there:…
 
JAMA Statistical Editor Roger Lewis, MD, discusses Regression Discontinuity Design with Matthew L. Maciejewski, PhD. Related Content: Regression Discontinuity Design Using Instrumental Variables to Address Bias From Unobserved Confounders
 
A high-level overview of key areas of AI ethics and not-ethics, exploring the challenges of algorithmic decision-making, kinds of bias, and interpretability, linking these issues to problems of human-system interaction. Much attention is now being focused on AI Ethics and Safety, with the EU AI Act and other emerging legislation being proposed to i…
 
A brief introduction to various legal and procedural ethical concepts and their applications within and beyond academia. It's all very well to talk about truth, beauty and justice for academic research ethics. But how do you do these things at a practical level? If you have a big idea, or stumble across something with important implications, what d…
 
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